Compress Retrieved Content Before Injection
bigaiguy · x · 2026-07-11
The author introduces Compression Before Injection: instead of stuffing raw retrieved text directly into the context, compress it first.
The workflow involves retrieving the full chunk, summarizing it to retain only the sentences directly relevant to the question, and then injecting it into the model. The author shares that this reduces the average chunk size from 400 tokens to 90 tokens. Information density remains intact, while context overhead is reduced by 77%.
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